Study on automation of generating CAD model for automotive part (bumper grille)

Manson, Elston (2022) Study on automation of generating CAD model for automotive part (bumper grille). Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

The application of CAD in the automotive industry has become an important role in various department such as the manufacturing, analysis, and simulation. Although the usage of CAD has improved greatly for the industries, arise challenges such as keeping up with customers’ demands in short period time while maintaining quality standards are faced by the industries. In CAD systems, an automation feature provides huge advantages towards companies in terms of time efficiency and cost reduction. Additionally, automation provides superior results in repetitive works, especially involving with accuracy, precision, and reliability. Therefore, this project aims to develop an automation program which demonstrates its ability in automating models. There are two important stages of the development process which include the model creation and programming works. The modelling will be performed first with macro recording enabled. As the modelling process is carried out, the macro will record the script for the model which can be used for generating or automation purposes. Identification of parameters will be then performed to pinpoint which dimension should be fixed or changeable. The obtained model script from the macro recording process will be then edited accordingly in line with the known changeable parameters. The final developed program should be able to perform changes of parameters of three different model designs according to user inputted values with a user interface. Additional features such as blueprints and auto default value input function also should aid the user during the usage of the developed program. The blueprints will aid the user visually in identifying parameters of the model while the auto default value input function helps user to input the default parameter values of the model automatically when experimenting multiple design generations.

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